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Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? Watch a conversation exploring longevity’s new focus.
Speakers: Mary Beth Griggs, science editor and Jessica Hamzelou, senior biotechnology reporter
Recorded on June 30, 2026
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Biomedical engineers at Duke University have for the first time used induced pluripotent stem cells (iPSCs) to grow specialized blood vessel cells critical to retinal health.
When injected into mouse models of retinal disease, these “retinal endothelial cells” (iRECs) integrated into the damaged tissue to regenerate blood vessels and restore retinal function. The team also demonstrated these cells’ ability to form functional retinal vascular tissue in a lab-grown environment, providing a pathway to model and research various eye diseases.
The results point toward the potential of using these retinal cells and models to develop new methods of impactful vision loss treatments and eye disorder research. “Retinal vascular diseases affect millions of people in the U.S., but our understanding remains limited, hindering our ability to discover and develop new therapeutics,” said Sharon Gerecht, PhD, the Paul M. Gross Distinguished professor and chair of Biomedical Engineering at Duke. “Using human stem cells, we generated the cells found in retinal blood vessels, paving the way for new therapeutic approaches.”
Gerecht is senior and corresponding author of the researchers’ published paper in Nature Biomedical Engineering, titled “Derivation of functional retinal endothelial cells from human pluripotent stem cells for therapeutics and modeling.” In their report the authors suggested that their iREC differentiation strategy will “… advance cell therapy and disease modeling, accelerating the discovery of treatments for retinal microvascular diseases.”
The old saying that the eyes are windows into the soul is more accurate than one might think. Neurons from the retina—the back part of the eye that detects light—extend directly to the brain, technically making the eyes part of the central nervous system.
Also like the brain, the retina has a blood barrier that strictly controls what gets in and out including oxygen, nutrients, water and pharmaceuticals. While this barrier keeps the retina healthy and relatively protected from disease-causing agents, it also makes treating the retina difficult. “Retinal tissue has the highest energy and oxygen usage in the body due to the retina’s intense and continuous neuronal activity,” the authors further explained. “This demand leads to a crucial reliance on the inner blood–retina barrier (iBRB) to maintain ocular homeostasis.”
The barrier is formed by blood vessel tissue comprising a tight network of retinal endothelial cells, which form the inner layer of blood vessels, in concert with other specialized cells called pericytes and astrocytes. “Retinal endothelial cells (RECs) in the iBRB are continuous endothelial cells (ECs) that form tight junctions to regulate the diffusion of small molecules, such as ions and water, across their cell–cell interface,” the investigators continued. The specificity of these cells and the fact that they do not form in other areas of the body make the complex tissue difficult to heal or to grow from scratch.
![This image depicts both healthy (right) and deteriorated (left) human retinal endothelial cells, which are essential for maintaining eye sight. The deterioration is caused by low oxygen and high glucose levels, mimicking conditions found in diabetic retinopathy, the leading cause of vision loss in working-age people in the United States. [Duke University]](https://www.genengnews.com/wp-content/uploads/2026/06/Low-Res_retina-cells-treatment-300x150.jpg)
“When this specialized blood vessel tissue begins to break down, it can cause a lot of different diseases that lead to vision loss,” said Parker Esswein, a PhD student working in the Gerecht laboratory and co-first author of the paper. “While there are sources of retinal endothelial cells, being able to grow a continuous supply from scratch could offer many advantages for those working in the field.”
These retinal endothelial cells are currently collected and grown from real patients, making them relatively expensive with a limited supply. “A renewable source of human iBRB endothelium is thus vital for advancing eye research and treatment development,” the team noted in their paper.
To expand access, reduce cost and control variability, the Gerecht lab wanted to see if they could grow them from iPSCs. These are essentially mature adult cells reprogrammed to become primal versions of themselves that can then grow into a wide variety of other cell types.
To do this, Esswein and Ying-Yu Lin, PhD, a former PhD student in Gerecht’s lab, took commercial iPSCs and used a well-established procedure to get them to grow into common endothelial cells that form the inner layer of most of the body’s blood vessels. The researchers then used a specialized cocktail of growth factors to coax the cells into becoming the specific type of endothelial cells found in the retina. “… we differentiated human induced pluripotent stem cells into retinal endothelial cells (iRECs) via the Wnt–β-catenin pathway, namely Norrin–Frizzled4 signaling,” they explained.
Once successful, the researchers put their development to the test. In benchtop experiments, the team was able to get the iRECs to form the same networks and structures that they do within the body. The team then subjected these lab-grown tissues to low oxygen and high glucose levels, which are detrimental conditions often seen within real people. These conditions are fundamental causes of diabetic retinopathy (DR), the leading cause of vision loss in working-age people in the United States, and caused the tissue barrier to break down just like it does in patients. They wrote in summary, “Overall, we were able to robustly recapitulate the DR phenotype in 2D and 3D with our iRECs, exemplifying their ability to be utilized for in vitro disease modeling and to elucidate aberrant pathways and therapeutic targets.”
The researchers then tried their lab-grown cells as a therapy for mouse models with weak, unstructured retinal blood vessels. When injected into the mice before any actual vision loss occurred, these cells successfully integrated into the existing tissue and helped develop strong blood vessels with strong barriers. “When injected into oxygen-induced retinopathy mice, iRECs integrated into the host vascular network and revascularized the ischemic eye, rescuing the tissue,” they stated.
“The tests showed that these lab-grown cells have promise for preventative treatments, especially since they should be easier and cheaper to obtain using our technique,” Esswein said. “And while our benchtop experiments did not attempt to model a wide variety of specific eye diseases in these studies, we’re confident we can create excellent human tissue models in the lab to help better understand these diseases and uncover therapies.”
Moving forward, the researchers are planning to explore these potential uses for their retinal endothelial cells both in their laboratory and through emerging industry partnerships. The group also has a patent pending that covers both the stem cell-based therapeutics and in vitro modeling for drug discovery and testing. In their paper they concluded “Our study establishes functional human iRECs and microphysiological iBRB models that facilitate mechanistic studies aimed at identifying therapeutic targets and promoting the revascularization of injured retinas, thereby supporting treatment advancement.”
The post iPSC-Derived Retinal Endothelial Cells Offer Platform for Studying Diseases appeared first on GEN – Genetic Engineering and Biotechnology News.
Officials at Elsevier say the company is expanding LeapSpace, a research-grade AI workspace, with new agentic capabilities that help “researchers carry out an even greater range of tasks within their complex workflow to drive better outcomes with confidence.”
Designed specifically for the end-to-end research workflow, LeapSpace was created to accelerate discovery, help researchers calibrate the strength of the evidence, and support critical thinking. LeapSpace draws on 20+ million full-text peer-reviewed articles and books from Elsevier and over 1,000 new content licensing partners, including Sage Publishing, Emerald Publishing, IOP Publishing, and NEJM Group. as well as 100+ million scientific records from 7,000+ publishers on Scopus.
Results are grounded in peer-reviewed literature, citations are traceable to sources, Trust Cards help researchers calibrate the strength of evidence, and the researcher remains in control, with every recommended change requiring approval, notes an Elsevier spokesperson.
General-purpose AI tools can generate text, summarize articles and automate some tasks. But researchers require something more demanding: the latest trusted peer-reviewed content, verifiable citations, transparent reasoning, research integrity safeguards, and enterprise-grade security and privacy, according to Stuart Whayman, president, corporate markets, Elsevier, adding that this is what LeapSpace is built for.
Built with research-grade AI, LeapSpace is already delivering results for thousands of researchers around the world: 97% report time savings, with more than half saving over 50% of their research time, points out Whayman, LeapSpace is now extending support to writing—the task researchers most want AI to help with: more than half find writing clearly and concisely to convey complex ideas a challenge, rising to 60% among students and early-career researchers.
The post New Agentic Capabilities for Tasks Across the Complete Research Workflow appeared first on GEN – Genetic Engineering and Biotechnology News.
Background: Safety planning is recognized as one of the most effective interventions for reducing suicidal behaviors. The quality of safety plans strongly depends on professional training, and traditional methods, such as role-playing, are time-consuming and offer limited opportunities for repetition across diverse patient profiles. Generative artificial intelligence (GenAI) may provide innovative solutions by offering accessible, flexible, and realistic training environments. Objective: This pilot study aimed to evaluate the acceptability and feasibility of a GenAI-based simulator designed to train mental health professionals in safety planning. Methods: Twenty nurses and nursing assistants from psychiatric units in a French university hospital participated in a pre-post, single-session evaluation. After self-rating their ability, competence, and willingness to manage patients experiencing suicidal ideation, participants interacted individually with the text-based simulator for 20 minutes to perform a safety plan with a chatbot, then completed postsimulation acceptability items, and open-ended feedback. Composite scores were computed: acceptability (eg, helpfulness; 0‐40), realism (eg, looking like real interaction with patient; 0‐20), and challenge (eg, emotional challenge; 0‐30). Pre-post changes were tested (Wilcoxon signed-rank test), and age-group comparisons were performed. Results: Acceptability was high (mean 31.9/40, SD 5.3; median 32, IQR 7), realism moderate-to-high (mean 15.1/20, SD 4.1; median 15, IQR 5.25), and challenge manageable (mean 17.0/30, SD 8; median 18, IQR 12.5). Participants rated usefulness (mean 7.65/10, SD 1.57; median 8, IQR 1.57), perceived learning (mean 7.6/10, SD 1.79; median 8, IQR 2), recommendation to use the chatbot for training (mean 8.3/10, SD 1.59; median 9, IQR 2.25), and feedback quality (mean 8.35/10, SD 1.27; median 8.5, IQR 1.25) favorably. Willingness to actively manage patients experiencing suicidal ideation significantly increased postsimulation (.03). Younger participants reported higher acceptability (.04) and realism (.03). Participants reported minimal concerns regarding the simulator’s use. Conclusions: This pilot study demonstrates that a GenAI-based simulator for safety planning is feasible and highly acceptable among experienced mental health professionals. The findings are promising and warrant larger, controlled trials to assess impacts on training effectiveness and patient outcomes.
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Researchers have developed AI tool to rival the behemoth of Google’s Alphafold 3 in predicting 3D shapes in RNA using less data.
RNAbpFLow could shed new light on the RNA conformational dynamics that underpin diverse cellular processes.
It could also lead to novel RNA-based treatments, such as the messenger RNA vaccines used to prevent COVID-19.
The invention, by two computer scientists at Virginia Tech, generates all-atom RNA conformational ensembles for single-chain RNA monomers.
Unlike several existing deep-learning methods, it can do this without using evolutionary information or homologous structural templates.
The approach is outlined in Nature Methods and the researchers have made the training data, and code freely available.
Study first author Sumit Tarafder, a PhD student, flagged the importance of knowing the shape of an RNA so that it could be targeted.
“In the shape, there are pockets where a drug can attach,” he explained. “If you can’t predict the shape, your pockets are wrong—and the drug won’t work.”
Growing interest in RNA-based therapeutics has driven efforts to determine the 3D structures of RNA.
However, the intrinsic conformational flexibility of RNA presents major challenges when using methods such as X-ray crystallography, nuclear magnetic resonance spectroscopy, and cryo-electron microscopy.
Computer-based methods have emerged as an attractive alternative, but several of these approaches are constrained by the scarcity of RNA structural data in the Protein Data Bank.
While a growing number of methods based on Deep Learning have emerged, most are highly dependent on explicit evolutionary sequence information derived from multiple sequence alignments (MSA) or implicitly make use of homologous information learned by biological language models.
Tarafder and associate professor Debswapna Bhattacharya therefore developed RNAbpFlow, a sequence- and base pair-conditioned all-atom RNA 3D structure generation method based on SE(3)-equivariant flow matching model.
RNAbpFlow incorporates conditions on the nucleotide sequence and base-pairing information from three complementary base pair annotation methods to comprehensively capture canonical and noncanonical interactions.
By incorporating a nucleobase center representation that enables the optimization of angles of all rotatable bonds of nucleobases, it directly outputs all-atom RNA structures in an end-to-end fashion.
This bypasses the need for a post-hoc geometry optimization module, which is impractical in the context of large-scale sample generation.
Base pair-centric auxiliary-loss functions maximize the realization of canonical and noncanonical base-pairing interactions. This enables efficient generation of all-atom RNA conformational ensembles while explicitly modeling nucleobase orientation and flexibility.
Experimental results demonstrated that the introduction of base-pairing conditioning led to improved performance and accuracy connected to the quality of the base pairs.
In blind testing, RNAbpFlow produced a correct overall structure for 12 of 14 RNA targets, compared with eight out of 14 for AlphaFold 3, from Google DeepMind.
“We wanted to keep it simple and predict the structure from scratch, using just the sequence and the base pairs,” Tarafder said.
“The model starts from complete noise and, guided by those base pairs, folds into the right 3D shape.
“That’s the beauty of flow matching, and we can generate as many structures as you want, which lets us capture how the molecule actually moves.”
The post AI Tool Outperforms Google Rival at 3D RNA Shape Prediction appeared first on Inside Precision Medicine.
Researchers have identified a distinct set of anti-lipid antibodies that could improve the early diagnosis of Lyme disease while also helping distinguish patients who develop persistent symptoms after treatment from those who recover fully.
The study, published in Infection and Immunity, found that antibodies against specific phospholipids appear before conventional Lyme disease antibodies in some patients and persist in a subset of individuals with post-treatment Lyme disease (PTLD). The findings suggest these immune markers could eventually complement existing diagnostic tests and provide new clues about the biology underlying chronic symptoms.
Lyme disease, caused by the spirochete Borrelia burgdorferi, is the most common vector-borne infection in North America and Europe. Although most patients respond well to a two- to three-week course of antibiotics, an estimated 10% to 20% continue to experience fatigue, pain, cognitive impairment, and other nonspecific symptoms long after treatment. The biological basis for these persistent symptoms remains poorly understood, and clinicians currently lack objective biomarkers to identify affected patients.
Current diagnostic testing also has significant limitations. Standard two-tier serologic testing relies on antibodies directed against Borrelia proteins, but these antibodies often do not appear until several weeks after infection and can remain detectable long after the bacteria have been eliminated. As a result, existing tests have limited sensitivity during early infection and cannot reliably distinguish active infection from previous exposure or persistent post-treatment illness.
The new study builds on earlier work showing that B. burgdorferi scavenges lipids from its human host and incorporates them into its outer membrane. The researchers hypothesized that this unusual biology could trigger immune responses against host lipids that might serve as biomarkers of disease activity.
To test that idea, investigators analyzed serum samples from patients with acute Lyme disease and PTLD collected from two independent biobanks. Together, the cross-sectional and longitudinal cohorts allowed researchers to follow antibody responses from the day of diagnosis through one year after treatment.
Among numerous lipid targets examined, only three antiphospholipid antibodies were consistently elevated following infection. Two antibodies—anti-phosphatidic acid (αPA) and anti-phosphatidylserine (αPS)—were significantly elevated at diagnosis, including in patients with erythema migrans before they had seroconverted on conventional Lyme disease testing.
Longitudinal analyses showed that antibody levels followed distinct patterns over time. Both αPA and αPS peaked approximately three to six months after diagnosis before declining in most patients. However, αPS remained persistently elevated in a subset of individuals with PTLD, distinguishing them from healthy controls and from patients with autoimmune and chronic illnesses that often resemble post-treatment Lyme disease, including systemic lupus erythematosus, multiple sclerosis, fibromyalgia, long COVID, and chronic fatigue syndrome.
The researchers propose that persistent αPS elevations may reflect an abnormal immune response rather than ongoing infection. While the precise mechanism remains unknown, they suggest that dysregulated activation of innate-like B cells or continued exposure to phosphatidylserine antigens could sustain antibody production in susceptible individuals.
Importantly, the authors note that whether these antibodies actively contribute to disease or simply mark immune dysfunction remains uncertain. “The presence of autoantibodies does not always drive autoimmune disease,” the authors write, emphasizing that further mechanistic studies are needed.
The investigators also draw parallels with syphilis, another spirochete infection. In syphilis, lipid-directed antibody tests are routinely used alongside pathogen-specific assays to monitor disease activity and treatment response. The authors suggest a similar strategy could eventually enhance Lyme disease diagnostics.
“The addition of antilipid antibodies to these panels may improve sensitivity while retaining the more specific diagnostic antibodies,” the authors write. They note that anti-lipid antibodies could potentially function both as adjuncts for early diagnosis and as biomarkers for monitoring recovery following treatment.
The study has several limitations, including relatively modest sample sizes and the use of specimens collected from multiple biobanks with differing collection protocols. Nevertheless, the consistency of findings across independent cohorts strengthens confidence in the observations.
Ultimately, the authors conclude that “the antibodies described here may be valuable biomarkers of early or persistent disease and suggest another mechanism linking B. burgdorferi infection and pathologic autoimmunity.” Larger prospective studies will be needed to determine whether these antibodies can be incorporated into clinical practice for diagnosing Lyme disease or identifying patients at risk for persistent symptoms.
The post New Antibody Biomarkers May Improve Early Detection of Lyme Disease, Predict Persistent Symptoms appeared first on Inside Precision Medicine.
Huntington’s disease therapeutics have reached a historic milestone—the first patient has successfully received an experimental neural stem cell therapy at UCI Health. This groundbreaking dose marks the world’s first human trial of embryonic stem cell-derived neural stem cells for the devastating neurodegenerative disorder.
The treatment, performed in May at University of California Irvine (UCI) Health, represents the culmination of more than 12 years of laboratory research and eight years of clinical planning led by scientists and physicians at the University of California, Irvine. Researchers hope the treatment, known as hNSC-01, could eventually slow disease progression, protect vulnerable brain cells and potentially restore damaged neural circuits.
To date, the first participant has not reported any serious adverse effects, according to the clinical team. A second patient is expected to receive the therapy in July.
“This clinical trial highlights the important role that an interdisciplinary academic and clinical team, together with the HD families, plays in advancing medicine,” Leslie M. Thompson, PhD, clinical trial sponsor as well as the Donald Bren Professor of psychiatry and human behavior UC Irvine, told Inside Precision Medicine. “We are grateful to our patients and their incredible families for their bravery to provide hope for others with very few options.”
Huntington’s disease, caused by a mutation in the huntingtin gene, destroys brain cells, causing involuntary movements, cognitive decline, and psychiatric symptoms that begin between 35 and 50 and worsen over time. Without a cure, the fatal disorder burdens patients and families emotionally, physically, and financially, often requiring daily and long-term care.
Current treatments for Huntington’s disease primarily focus on managing symptoms rather than altering the underlying disease process. Drugs such as tetrabenazine and deutetrabenazine can reduce involuntary movements known as chorea, while antidepressants, antipsychotics and mood stabilizers help address psychiatric symptoms. Physical therapy, speech therapy and occupational therapy can also improve quality of life. However, none of these approaches has been shown to slow or stop the progressive loss of neurons that drives the disease.
Over the past decade, researchers have pursued several experimental disease-modifying strategies. Among the most advanced are gene-targeting therapies designed to reduce production of the mutant huntingtin protein. These include antisense oligonucleotides (ASOs), which are delivered through repeated spinal injections, as well as RNA-targeting and gene-editing approaches intended to suppress or correct the faulty gene. While these strategies directly target the genetic cause of Huntington’s disease, clinical results have been mixed, and questions remain about long-term effectiveness, safety and the need for lifelong treatment.
The hNSC-01 neural stem cell therapy being tested at UCI Health takes a different approach. Rather than targeting the mutant gene itself, the therapy aims to protect vulnerable neurons, replace lost cells, rebuild damaged neural circuits and provide supportive factors that promote brain health.
The UCI researchers believe stem cell-based therapies may offer a new approach by addressing multiple aspects of the disease simultaneously. The experimental treatment, hNSC-01, consists of pluripotent neural stem cells derived from embryonic stem cells and manufactured through the UC Davis Good Manufacturing Practice facility.
Preclinical studies in animal models suggested the cells could perform several functions relevant to Huntington’s disease, including protecting existing neurons, replacing cells that have been lost, rebuilding damaged neural networks and releasing beneficial proteins such as brain-derived neurotrophic factor (BDNF). The cells were also shown to reduce harmful protein accumulations associated with neurodegeneration and demonstrated long-term safety in mice.
Unlike conventional drug therapies, the stem cells are delivered directly into the brain. During the approximately six-hour procedure, performed under general anesthesia, patients lie face down within an MRI scanner while neurosurgeons use a specialized stereotactic navigation and delivery system to implant the cells into the striatum, a deep brain structure heavily affected by Huntington’s disease.
The striatum plays a central role in motor control, decision-making, motivation and learning. Degeneration of this region contributes significantly to the hallmark symptoms of the disorder. The first intervention was delivered by UCI Health neurosurgeon Jefferson W. Chen, MD, and a multidisciplinary surgical team.
As a Phase Ib/IIa study, the trial’s primary objective is to evaluate safety. However, researchers will also track biomarkers and clinical indicators that may provide early clues about whether the treatment is affecting disease progression.
When asked which biomarkers would help identify how the therapy is working in patients, Thompson emphasized that current measurements are focused more on assessing treatment impact than revealing biological mechanisms. “We will be including HD relevant clinical endpoints and biomarkers, including NfL in plasma and NfL and PENK in CSF; however, these are geared to understanding whether the treatment is having a benefit to these outcome measures versus informing the mechanism of action,” Thompson said.
One of the most important early indicators will be whether disease-related biomarkers remain stable rather than continuing their expected decline. “The earliest sign first and foremost is safety in this initial trial,” Thompson said. “Initial signs that the therapy could be meaningfully altering disease progression would be if the blood-based or CSF-based biomarkers do not show progression.”
Reaching the point of treating the first patient required overcoming a series of scientific, manufacturing and logistical hurdles. According to Thompson, selecting the optimal cell line was among the most significant challenges, testing multiple cell lines in vitro and in vivo.
Researchers also had to establish quality-control standards for the final therapeutic product and create Good Manufacturing Practice cell banks following extensive testing in Huntington’s disease mouse models. The COVID-19 pandemic introduced additional delays. “Disruptions caused by COVID-19, in particular the safety and tumorigenicity studies, delayed the timeline,” Thompson explained.
Another major undertaking involved creating the clinical infrastructure necessary for a first-of-its-kind procedure. Thompson said that it’s not really a challenge, but getting the overall procedural pipeline in place is the first study of this kind at the UCI Health–Irvine hospital in the MRI suite.
Despite the complexity of the project, Thompson said interactions with regulators proceeded smoothly. “We actually had a very good experience in terms of regulatory activities. A very helpful pre-pre-IND, pre-IND and relevant feedback from the FDA on the clinical trial.”
Whether hNSC-01 will ultimately compete with or complement emerging gene-targeting therapies remains unclear. Gene-silencing approaches may be easier to distribute because they do not require brain surgery, but repeated administrations over many years could result in substantial cumulative costs. In contrast, hNSC-01 involves a specialized MRI-guided neurosurgical procedure that may initially be limited to major medical centers, but it is designed as a one-time treatment whose long-term costs could compare favorably with chronic therapies if benefits prove durable.
Thompson believes the infrastructure requirements may be less of a barrier than many assume. “Yes, major medical centers can eventually offer it, and several medical centers are now using this system for other indications,” she said. “The other aspect is this would be a one-time administration so an individual could even travel to a medical center that offers the procedure.”
The REGEN4HD trial plans to enroll 21 adults aged 18 to 65 with early-stage Huntington’s disease. Twelve participants will be included in a Phase Ib dose-escalation cohort, while nine additional participants will be enrolled in a Phase IIa expansion group. The study is funded through a $12 million grant from the California Institute for Regenerative Medicine and coordinated through the UC Irvine Alpha Clinic, one of nine state-supported regenerative medicine clinical research centers.
Even if the therapy proves safe and beneficial, researchers caution that it remains unclear whether stem cell transplantation alone will be sufficient to combat Huntington’s disease over the long term. “At this point we do not know whether this will be sufficient alone or will need to be delivered with other disease-modifying therapies,” said Thompson. “For example, ones that specifically target an HD mechanism such as somatic repeat instability,” Thompson said. “However, these cells also have the potential to exert therapeutic effects directly while serving as vehicles for the delivery of additional interventions.”
For families affected by Huntington’s disease, the first successful treatment in the REGEN4HD trial represents more than a scientific milestone. It marks the beginning of a new chapter in regenerative medicine—one that researchers hope could eventually transform the outlook for a disease that has long remained untreatable.
The post First Huntington’s Disease Patient Dosed with Neural Stem Cell Therapy appeared first on Inside Precision Medicine.